maestro-knowhow

SkillDev tools

Intent-driven knowhow precipitation, describe what you want to

Use maestro-knowhow in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the maestro-knowhow skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

maestro-knowhowStart free

What this skill tells your AI

The instructions your AI receives, as published by catlog22/maestro-flow in .codex/skills/maestro-knowhow/SKILL.md and read by Ahel’s review.

TypeKeywordsPrefix
sessionsession / compact / 压缩KNW-
templatetemplate / tpl / 模板TPL-
reciperecipe / rcp / 配方 / 步骤RCP-
referencereference / ref / 参考REF-
decisiondecision / dcs / adr / 决策DCS-
tiptip / note / 技巧 / 记录TIP-
assetasset / 资产AST-
blueprintblueprint / 蓝图BLP-
documentdocument / doc / 文档DOC-

Pass the full $ARGUMENTS to the workflow as its intent (the first capture argument is implied). The workflow infers one of the nine compatible types and writes through the canonical CLI.

Minimal ordinary creation is maestro knowhow add --type <type> --title "<title>" --content-file <path>: type, title, and content are the only required knowledge parameters. Keywords, sourceRef, relatedPaths, applicability, language, decision state, explicit ID, and tool are advanced optional metadata. Repository authority is host-owned: omit targetRepoId for current-repository writes; pass the exact host-supplied stable UUID only for an explicitly selected linked write with live knowhow write capability. Never derive identity from cwd/name/alias/path or persist those values as identity.

Signals

GitHub stars
560
Forks
68
Last commit
Sep 2026
Advanced
Item type
skill
Key
maestro-knowhow
Source
github.com/catlog22/maestro-flow